MK-ek11's repositories
Clustering-using-DBSCAN
Write a code to implement DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm for clustering and outlier detection
Frequent-Pattern-Mining-FP-Tree
Write a code to implement FP-growth (Frequent Pattern Mining) algorithm and output frequent itemset with support >=2500
Fuzzy-Clustering-using-EM
Write a code to implement Fuzzy Clustering with EM (Expectation Maximization) algorithm for clustering
Adversarial-Attack-on-Pre-Trained-CNN-Model
Generate adversarial examples using Fast Gradient Sign Method (FGSM)
Apply-XAI-on-ResNet50
Generate explanations for the ResNet50 classification using Grad-CAM and LIME (XAI Method)
Classification-Model-Predict-Customer-Attrition
Predict customers that are susceptible to attrition
Comparison-of-Classifiers
Implement classifiers and compare performance achieved by each classifiers
emilyportfolio
Personal Portfolio for Data Science Projects hosted by GithubPages
sentiment_analysis_googlemap_reviews_with_chatgpt
Used googlemaps API, Selenium, and BeautifulSoup to extract googlemap reviews and chatgpt for customer review sentiment analysis
Spring_Kaggle_Competition
5001-Spring 2022 Kaggle Competition
stock_price_forecast_with_LSTM
Stock Price Forecast with LSTM
Generate-Candidate-Hash-Tree
Write a code to generate a hash tree algorithm with candidate item sets
Graphs-using-DGL
Social Computing with Deep Graph Library (DGL)
Graphs-using-NetworkX
Social Computing with NetworkX. Compare a real-world graph data set with the random graph using NetworkX.
Implement-AdaBoost
Write a code to implement AdaBoost algorithm using decision stump to learn strong classifier
Implement-GAN-on-MNIST-Dataset
Implement GAN (Generative Adversarial Network) on MNIST dataset. Vary the hyperparameters and analyze the corresponding results.
Outlier-Detection-using-Nested-Loop
Write a code to implement Nested-Loop algorithm for outlier detection
Spring_Earthquake_Forecasting_with_Supervised_Learning
5001-Spring 2022 Group Project